Methods to detect, characterize, and remove motion artifact in resting state fMRI

NeuroImage

Volumn 84, Issue , 2014, Pages 320-341

  Power, Jonathan D ^a   Mitra, Anish ^a   Laumann, Timothy O ^a   Snyder, Abraham Z ^a,b   Schlaggar, Bradley L ^a,b   Petersen, Steven E ^a,b,c,d  

^a WASHINGTON UNIVERSITY SCHOOL OF MEDICINE   (United States)

^b WASHINGTON UNIVERSITY SCHOOL OF MEDICINE   (United States)

^c WASHINGTON UNIVERSITY   (United States)

^d WASHINGTON UNIVERSITY IN ST LOUIS   (United States)

Author keywords

Artifact; Functional connectivity; Motion; Movement; MRI; Resting state

Indexed keywords

ADULT; ARTICLE; ARTIFACT REDUCTION; BOLD SIGNAL; CHILD; FEMALE; FUNCTIONAL MAGNETIC RESONANCE IMAGING; FUNCTIONAL NEUROIMAGING; HUMAN; MALE; MOTION; NORMAL HUMAN; PRIORITY JOURNAL; QUALITY CONTROL; SIGNAL PROCESSING; ADOLESCENT; ALGORITHM; ARTIFACT; AUTOMATED PATTERN RECOGNITION; BRAIN; BRAIN MAPPING; COMPUTER ASSISTED DIAGNOSIS; HEAD MOVEMENT; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; NUCLEAR MAGNETIC RESONANCE IMAGING; PHYSIOLOGY; PROCEDURES; REPRODUCIBILITY; REST; SENSITIVITY AND SPECIFICITY; YOUNG ADULT;

ADOLESCENT; ADULT; ALGORITHMS; ARTIFACTS; BRAIN; BRAIN MAPPING; FEMALE; HEAD MOVEMENTS; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MALE; MOTION; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; REST; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE; YOUNG ADULT;

EID: 84884227262     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2013.08.048     Document Type: Article

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